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During the coronavirus disease-2019 (COVID-19) pandemic, the Centers for Disease Control and Prevention (CDC) supplemented traditional COVID-19 case and death reporting with COVID-19 aggregate case and death surveillance (ACS) to track daily cumulative numbers. Later, as public health jurisdictions (PHJs) revised the historical COVID-19 case and death data due to data reconciliation and updates, CDC devised a manual process to update these records in the ACS dataset for improving the accuracy of COVID-19 case and death data. Automatic data transfer via an application programming interface (API), an intermediary that enables software applications to communicate, reduces the time and effort in transferring data from PHJs to CDC. However, APIs must meet specific content requirements for use by CDC. As of March 2022, CDC has integrated APIs from 3 jurisdictions for COVID-19 ACS. Expanded use of APIs may provide efficiencies for COVID-19 and other emergency response planning efforts as evidenced by this proof-of-concept. In this article, we share the utility of APIs in COVID-19 ACS.

Previous reports of COVID-19 case, hospitalization, and death rates by vaccination status

BACKGROUND: With the emergence of the delta variant, the United States experienced a rapid increase in Covid-19 cases in 2021. We estimated the risk of breakthrough infection and death by month of vaccination as a proxy for waning immunity during a period of delta variant predominance. METHODS: Covid-19 case and death data from 15 U.S. jurisdictions during January 3 to September 4, 2021 were used to estimate weekly hazard rates among fully vaccinated persons, stratified by age group and vaccine product. Case and death rates during August 1 to September 4, 2021 were presented across four cohorts defined by month of vaccination. Poisson models were used to estimate adjusted rate ratios comparing the earlier cohorts to July rates. RESULTS: During August 1 to September 4, 2021, case rates per 100,000 person-weeks among all vaccine recipients for the January to February, March to April, May to June, and July cohorts were 168.8 (95% confidence interval [CI], 167.5 to 170.1), 123.5 (95% CI, 122.8 to 124.1), 83.6 (95% CI, 82.9 to 84.3), and 63.1 (95% CI, 61.6 to 64.6), respectively. Similar trends were observed by age group for BNT162b2 (Pfizer–BioNTech) and mRNA-1273 (Moderna) vaccine recipients. Rates for the Ad26.COV2.S (Janssen-Johnson & Johnson) vaccine were higher; however, trends were inconsistent. BNT162b2 vaccine recipients 65 years of age or older had higher death rates among those vaccinated earlier in the year. Protection against death was sustained for the mRNA-1273 vaccine recipients. Across age groups and vaccine types, people who were vaccinated 6 months ago or longer (January-February) were 3.44 (3.36 to 3.53) times more likely to be infected and 1.70 (1.29 to 2.23) times more likely to die from COVID-19 than people vaccinated recently in July 2021. CONCLUSIONS: Our study suggests that protection from SARS-CoV-2 infection among all ages or death among older adults waned with increasing time since vaccination during a period of delta predominance. These results add to the evidence base that supports U.S. booster recommendations, especially for older adults vaccinated with BNT162b2 and recipients of the Ad26.COV2.S vaccine. (Funded by the Centers for Disease Control and Prevention.)

COVID-19 vaccines are an effective tool to prevent illness due to SARS-CoV-2 infection. However, infection after vaccination still occurs. We evaluated all infections identified among recipients of either the Pfizer-BioNTech or Moderna COVID-19 vaccine in five U.S. states during January-March 2021.Using observational data reported to CDC, we compared the incidence of SARS-CoV-2 infection among vaccinated and unvaccinated persons, and the sex, age, and vaccine product received for individuals with vaccine breakthrough infections to those of the vaccinated population using Poisson regression models. We also compared the proportion of vaccine breakthrough cases due to a SARS-CoV-2 variant of concern to data reported to CDC's national genomic surveillance program.The age-adjusted incidence of reported SARS-CoV-2 infection was 97% lower among vaccinated as compared to unvaccinated persons aged ≥ 16 years (68 vs 2252 cases per 100,000 people). Vaccinated adults aged ≥ 85 years were 1.6 times (95% CI 1.3-1.9) as likely to become infected with SARS-CoV-2 than vaccinated adults aged 65 years. Pfizer-BioNTech COVID-19 vaccine recipients were 1.4 times (95% CI 1.3-1.6) as likely to experience infection compared to Moderna COVID-19 recipients. The proportion of infections among vaccinated persons caused by SARS-CoV-2 variants of concern was similar to the proportion of circulating viruses identified as variants of concern in the five states during the same time.Vaccinated persons had a substantially lower incidence of SARS-CoV-2 infection compared to unvaccinated persons. Adults aged ≥ 85 years and Pfizer-BioNTech vaccine recipients had a higher risk of infection following vaccination. We provide an analytic framework for ongoing evaluation of patterns associated with SARS-CoV-2 infection among vaccinated persons using observational surveillance and immunization data. Our findings reinforce the effectiveness of COVID-19 vaccines in preventing infection in real-world settings.

Objectives: Between 2003 and 2013, the rate of neonatal abstinence syndrome (NAS)—a postnatal drug withdrawal syndrome—in Tennessee increased approximately 10-fold. NAS surveillance is relatively new, and underestimation associated with surveillance has not been described. We compared data from the Tennessee NAS public health surveillance system (TNSS) with a second source of NAS data, hospital discharge data system (HDDS), and estimated the true number of infants with NAS using capture-recapture methods. Methods: We obtained NAS data on cases of NAS among Tennessee infants from TNSS and HDDS from January 1, 2013, through December 31, 2016. We matched cases of NAS identified in TNSS to cases identified in HDDS. We estimated the true number of infants with NAS by using the Lincoln-Peterson estimator capture-recapture methodology. Results: During the study period, 4070 infants with NAS were reported to TNSS, and 5321 infants with NAS were identified in HDDS; 2757 were in both data sets. Using capture-recapture methods, the total estimated number of infants with NAS during the study period was 7855 (annual mean = 1972; estimated range = 1531-2427), which was 93% more than in TNSS and 48% more than in HDDS. Drugs used for the medication-assisted treatment of substance use disorder were the most commonly reported substances associated with NAS (n = 2389, 59%). Conclusions: TNSS underestimated the total burden of NAS based on the capture-recapture estimate. Case-based public health surveillance is important for monitoring the burden of and risk factors for NAS and helping guide public health interventions.

Objective To demonstrate the utility of syndromic surveillance data in aiding public health actions and response across multiple investigations in Tennessee. Introduction Syndromic surveillance data is typically used for the monitoring of symptom combinations in patient chief complaints (i.e. syndromes) or health indicators within a population to inform public health actions. The Tennessee Department of Health collects emergency department (ED) data from more than 80 hospitals across Tennessee to support statewide situational awareness. Most hospitals in Tennessee provide data within 48 hours of the patient being seen in the emergency department. The timeliness of syndromic surveillance data allow for rapid estimates of impact in emergency department populations. Tennessee has successfully used these data to monitor influenza, heat related illnesses, and emergency department impacts from disaster evacuations. In addition to assessing impact and trends, syndromic surveillance can also provide early warnings for conditions of public health concern and increase the lead time public health has to initiate a response. In Tennessee, routine syndromic surveillance for mumps, hepatitis A, and other conditions has been successfully conducted statewide. Three successes from these surveillance efforts include detecting a clinically diagnosed but unreported case of mumps, early identification of hepatitis A cases during Tennessee’s ongoing 2018 hepatitis A outbreak, and the detection of an epidemiologically unlikely clinical diagnosis of mumps associated with an exposure at a recreational center. Methods Syndromic surveillance data in Tennessee are monitored daily for chief complaints and discharge diagnosis codes that could require immediate public health actions. Chief complaints are monitored using ESSENCE’s built in Record of Interest (ROI) syndrome while ICD10 and SNOMED codes are monitored for specific conditions of interest. Examples include mumps, measles, rubella, hepatitis A, and other immediately notifiable conditions that have time sensitive public health interventions associated with them. Results In 2017, Tennessee was investigating a large increase in mumps cases and outbreaks and exposure responses were occurring across the state. In early June, a patient was seen at a hospital emergency department with a chief complaint of right sided testicular swelling, right sided jaw swelling, and a measured temperature of 99.0 at the time of the visit. Based on presentation alone, the patient was diagnosed by the physician with uncomplicated mumps and discharged. Two days, but less than 48 hours after patient was seen at the emergency department, the discharge diagnosis of mumps was received in Tennessee’s syndromic surveillance system and detected during routine review of incoming discharge diagnoses. Upon detection in Tennessee’s syndromic surveillance data, both the regional health department where the patient listed his residence and the regional health department where the hospital was located were notified of the ED visit. The hospital was immediately contacted that morning and further investigation revealed that the physician who diagnosed the patient with mumps never ordered laboratory testing to support the diagnosis and that the patient had remained in the jurisdictional area surrounding the hospital. Because no laboratory testing was ordered, the infection preventionist at the hospital was not made aware of the patient’s diagnosis and no notification to public health had been made. Rapid contact and coordination with the hospital, regional health departments, and county health department allowed for the patient to be seen at a county health department for specimen collection on the same day the visit was detected. The patient was confirmed PCR positive for mumps the following week. Epidemiologic follow up with the patient revealed that the patient was not linked to any of the ongoing outbreaks in Tennessee, but had likely been exposed and exposed others at multiple out of state events. Tennessee was able to follow up with the affected states and notify them of the potential exposures. In early 2018, Tennessee’s ongoing hepatitis A outbreak was detected. To supplement traditional investigative efforts, monitoring for chief complaints generally indicative of hepatitis was initiated across the state, along with diagnosis code monitoring for hepatitis A and unspecified hepatitis. Although all ages were monitored, follow up was focused on visits occurring in the most prevalent age group (18 – 44), chief complaints including substance abuse indicators, and ICD10 codes indicative of Hepatitis A. Routine syndromic surveillance for hepatitis A identified visits meeting the outbreak characteristics which were referred to local and regional health departments for follow up. Although many visits were confirmed to have been already reported or ruled out (particularly in non-outbreak counties), there were numerous times when laboratory tested hepatitis A cases where detected in syndromic surveillance data prior to them being reported. Early detection provided by syndromic surveillance increased the lead time for public health to identify potential high risk contacts and initiate post-exposure prophylaxis. In the summer of 2018, a young child with chief complaint of “diagnosed Monday with mumps” was identified during a regular local review of syndromic surveillance data. Local public health follow up with the infection preventionist revealed that the child was fully vaccinated and had no known exposure to mumps. The patient was brought to the emergency department due to concerns that he was misdiagnosed at the clinic where he was seen previously. Unfortunately, the patient was seen outside of the optimal window for testing, but the evaluation at the emergency department and additional follow up by public health made the concern for mumps very low. Soon after that follow up was initiated, the local health department received a call from the general public about a sign put up at local recreational center stating that children attending the center had been exposed to mumps. There were no known cases of mumps in Tennessee at that time and the only active mumps investigation in the local jurisdiction was the follow up on the emergency department visit. Rapid follow up with the parent of the patient confirmed that they were the “mumps” exposure being referred to at the recreational center and public health was able to work with the recreational center to remove the signage, as the risk of the patient actually having mumps was low. Information from the investigation initiated by the syndromic surveillance data allowed for public health to rapidly connect the dots between the exposure notice and the patient. Conclusions Regular monitoring of syndromic surveillance data provides important opportunities for public health intervention that would not be possible otherwise. In all of the instances mentioned, timely syndromic surveillance data monitoring and follow up benefited public health responses by filling information gaps, helping initiate conversations with hospitals, and serving as another safety net for unreported illnesses. Conditions with post-exposure prophylactic interventions that can benefit from increased lead time are valuable targets for routine syndromic surveillance.

Background: The Tennessee (TN) Department of Health (TDH) has been identifying clusters of reportable conditions using the Electronic Surveillance System for Early Notification of Community-Based Epidemics (ESSENCE), a cluster detection method using space-time scan permutation statistics based on patient ZIP code. CRE are reportable in Tennessee; isolate submission is required for carbapenemase (CP) production and resistance mechanism (eg, KPC gene) testing. The Council for Outbreak Response: Healthcare-Associated Infections (HAI) and Antimicrobial-Resistant (AR) Pathogens (CORHA) released proposed thresholds of reporting CRE to public health. Thresholds vary by healthcare facility type and regional epidemiology. The TDH HAI/AR program currently runs a daily automated SAS code using the CORHA reporting threshold to help public health identify suspect KPC clusters. We evaluated our rule-based CORHA method against 2 space-time statistic-based methods for KPC cluster detection in Tennessee. Methods: Simulations for each cluster detection method were performed using retrospective CP-CRE surveillance data for 2018. Simulations were conducted using (1) CORHA reporting thresholds by facility case count to flag clusters of 2 or more cases within 28 days, (2) ESSENCE using patient residence ZIP code and the earliest of collection date or symptom onset date as is used for other reportable conditions in Tennessee, and (3) a modified space-time statistical method using SaTScan in which reporting facility, rather than a geographic location, was used as space variable to detect within-facility clusters within 1–28 days. We compared the number and overlap of cases and clusters identified with each method. Univariate logistic regression with CORHA flagging as predictor and flagging by each ESSENCE or CORHA method as outcome variables, were used to compare cases tagged by each method pair, respectively. Results: Of 183 KPC CP-CRE cases, 54 (30.6%) were flagged as part of suspect clusters by at least 1 method. Simulations generated 16 alerts (36 cases) using CORHA, 10 clusters (25 cases) using modified SaTScan, and 10 clusters (20 cases) using standard ESSENCE protocol. Among KPC CP-CRE cases flagged by CORHA, 12 (33.3%) were also flagged by modified SaTScan and 2 (5%) by ESSENCE. A case flagged using CORHA method has 5.15 (95% CI, 2.10–12.64) times higher odds of also being flagged by the modified SaTScan method compared to cases not flagged by CORHA. Conclusions: An algorithm based on CORHA thresholds for reporting CRE to public health had strong agreement with modified SaTScan, a space-time method. We intend to explore the extension of the time interval for ESSENCE.Funding: NoneDisclosures: None

This paper describes a continuing initiative of the International Society for Disease Surveillance designed to bring together public health practitioners and analytics solution developers from both academia and industry. Funded by the Defense Threat Reduction Agency, a series of consultancies have been conducted on a range of topics of pressing concern to public health (e.g. developing methods to enhance prediction of asthma exacerbation, developing tools for asyndromic surveillance from chief complaints). The topic of this final consultancy, conducted at the University of Utah in January 2017, is focused on defining a roadmap for the development of algorithms, tools, and datasets for improving the capabilities of text processing algorithms to identify negated terms (i.e. negation detection) in free-text chief complaints and triage reports.

Objective To demonstrate the use of ESSENCE in the BioSense Platform to monitor out-of-State patients seeking emergency healthcare in Tennessee during Hurricanes Harvey and Irma. Introduction Syndromic surveillance is the monitoring of symptom combinations (i.e., syndromes) or other indicators within a population to inform public health actions. The Tennessee Department of Health (TDH) collects emergency department (ED) data from more than 70 hospitals across Tennessee to support statewide syndromic surveillance activities. Hospitals in Tennessee typically provide data within 48 hours of a patient encounter. While syndromic surveillance often supplements disease- or condition-specific surveillance, it can also provide general situational awareness about emergency department patients during an event or response. During Hurricanes Harvey (continental US landfall on August 25, 2017) and Irma (continental US landfall on September 10, 2017), TDH supported all hazards situational awareness using the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) in the BioSense Platform supported by the National Syndromic Surveillance Program (NSSP). The volume of out-of-state patients in Tennessee was monitored to assess the impact on the healthcare system and any geographic- or hospital-specific clustering of out-of-state patients within Tennessee. Results were included in daily State Health Operations Center (SHOC) situation reports and shared with agency response partners such as the Tennessee Emergency Management Agency (TEMA). Methods Data were monitored from August 18, 2017 through September 24, 2017. A simple query was established in ESSENCE using the Patient Location (Full Details) dataset. Data were limited to hospital ED visits reported by Tennessee (Site = “Tennessee”). To monitor ED visits among residents of Texas before, during, and after Major Hurricane Harvey, data were queried for a patient zip code within Texas (State = “Texas”). ED visits among Florida residents were monitored similarly (State = “Florida”) before, during, and after Major Hurricane Irma. Additionally, a free text chief complaint search was implemented for the terms “Harvey”, “Irma, “hurricane”, “evacuee”, “evacuate”, “Florida”, and “Texas”. Chief complaint search results were then filtered to remove encounters with patient zip codes within Tennessee. Results From August 18, 2017 through September 24, 2017, Tennessee hospital EDs reported 277 patient encounters among Texas residents and 1,041 patient encounters among Florida residents. The number of encounters among patients from Texas remained stable throughout the monitoring period. In contrast, the number of encounters among patients from Florida exceeded the expected value on September 7, peaked September 10 at 116 patient encounters, and returned to expected levels on September 16 (Figure 1). The increase in patients from Florida was evenly distributed across most of Tennessee, with some clustering around a popular tourism area in East Tennessee. No concerning trends in reported syndromes or chief complaints were identified among Texas or Florida patients. The free text chief complaint query first exceeded the expected value on September 9, peaked on September 11 with 5 patient encounters, and returned to expected levels on September 14. From August 18 through September 24, 21 of 30 visits captured by the query were among Florida residents. One Tennessee hospital appeared to be intentionally using the term “Irma” in their chief complaint field to indicate patients from Florida impacted by the hurricane. Conclusions The ESSENCE instance in the BioSense platform provided TDH the opportunity to easily locate and monitor out-of-state patients seen in Tennessee hospital EDs. While TDH was unable to validate whether all patients identified as residents of Florida were displaced because of Major Hurricane Irma, the timing of the rise and fall of patient encounters was highly suggestive. Likewise, seeing no substantial increase ED patients with residence in Texas reassured TDH that the effects of Hurricane Harvey were not impacting hospital emergency departments in Tennessee. TDH used information and charts from ESSENCE to support situational awareness in our SHOC and at TEMA. Use of patient zip code to identify out-of-state residents was more sensitive than chief complaint searches by keyword during this event. ESSENCE allowed TDH to see where out-of-state patients appeared to be concentrating in Tennessee and monitor the need for targeting messaging and resources to heavily affected areas. Additionally, close surveillance of chief complaints among out-of-state patients provided assurance that no unusual patterns in illness or injury were occurring. ESSENCE is the only TDH information source capable of rapidly collecting health information on out-of-state patients. ESSENCE allowed TDH to quickly identify a change within the patient population seen at Tennessee emergency departments and monitor the situation until the patient population returned to baseline levels.

Objective Describe cross-jurisdictional data sharing practices using ESSENCE and facilitated by the BioSense Platform for a national mass gathering event, and the dashboard views created to enhance local data for greater situational awareness. Introduction In 2016, the BioSense Platform for national syndromic surveillance made substantial enhancements including data processing changes, a national ESSENCE instance, and management tools to support diverse data sharing needs. On August 21, 2017, a total solar eclipse occurred over much of the United States. The event resulted in large gatherings over multiple days to areas in the Path of Totality (PoT). In the days leading up to the event, public health and emergency preparedness included syndromic surveillance in their monitoring plans. To support this effort, Illinois (IL), Kentucky (KY), and Tennessee (TN) established inter-jurisdictional aggregate data sharing to get a more inclusive view of cause-specific illness or injury in Emergency Department (ED) visits before, during, and after the eclipse. Methods Following best practices outlined by colleagues at Oregon Health Authority, in their July 2017 guidelines “Using ESSENCE for Mass Gathering Surveillance”, the tristate collaboration between IL, KY, and TN provided participating state-level epidemiologists access to aggregate data in all three states. Dashboards for each state were created to include hospital ED visits in counties that fell in the PoT and shared to view trends in syndromes such as gastrointestinal illness (GI), Influenza-like Illness, heat-related illness (HRI), and substance abuse. Counts from event-specific keyword queries related to the eclipse were also shared. Results Shared dashboards included data from 64 facilities (31 IL, 10 KY, and 23 TN) and monitoring was performed from August 16 – August 23. During the monitoring period, 41,507 ED visits were reported from the shared facilities (10,610 IL; 7,740 KY; 23,157 TN). Out of state residents accounted between 3% to 8.6% of reported visits. There was a sharp increase in ED visits referencing the eclipse across all three states during the monitoring period. A total of 71 visits were identified as eclipse-related (19 IL, 44 KY, and 8 TN). KY requested one hospital to identify patient encounters related to the eclipse by including the term “eclipse” in the patient chief complaint, IL and TN did not. Minor fluctuations in syndrome trends were observed across all three states. Conclusions Mass gatherings may cause a sudden increase of healthcare resource utilization in the municipalities where they occur. In IL and KY, the PoT occurred over a rural part of each state, whereas in TN the path went through a major metropolitan area. ED coverage and completeness varied across all three states. Expanded data access and visualization of syndromes in nearby states allowed IL, KY, and TN to enhance their surveillance efforts and verify observed syndromic trends across jurisdictional boundaries. The ESSENCE instance in the BioSense platform fostered a collaborative environment that quickly enabled the sharing of limited data across multiple jurisdictions during the August 21, 2017 total solar eclipse.

Objective: To show how the creation of a software tool and implementation of new processes improved the efficiency of syndromic surveillance onboarding at the Tennessee Department of Health. Introduction: Syndromic surveillance is commonly supported by information generated from electronic health record (EHR) systems and sent to public health via standardized messaging. Before public health can receive syndromic surveillance information from an EHR, a healthcare provider must demonstrate reliable and timely generation of messages according to national standards. This process is known as onboarding. Onboarding at the Tennessee Department of Health (TDH) focused heavily on human review of HL7 messages. However, the visual inspection of messages was time-intensive and delayed efforts to provide constructive feedback to participating healthcare providers. To ease the quantity of manual review done during the onboarding process, TDH created an application to assist in the process of reviewing syndromic surveillance messages. Methods: The application for reviewing syndromic surveillance messages was developed in Python 3.6, a general purpose programming language. Python was selected because of the strong libraries already developed in the language for data analysis, database interaction, and interacting with healthcare related data. To support TDH onboarding efforts, the application performed three tasks : file handling, HL7 processing, and database loading. File handling was completed using Python core libraries. Healthcare facilities participating in onboarding regularly uploaded test HL7 batch files containing all emergency department (ED) visits to a secure File Transfer Protocol (sFTP) server owned by the State of Tennessee. Files are then retrieved from the sFTP server and delivered to the TDH integration engine, Rhapsody. Rhapsody processes the incoming files and makes a copy available to the Python application. The copies are then loaded by the application into a database and backed up in an archive. After the application has finished handling the received files, the raw HL7 messages within the files are processed to extract relevant information needed to validate the message. The extraction was supported by the “python-hl7” library. The application referenced a CSV file with the names and locations of all of the PHIN 2.0 guide HL7 data elements to guide data processing. Processed HL7 fields and file metadata were then extracted into a relational database using the Python library SQL Alchemy. Conclusions: The creation of this application has greatly assisted in the process of reviewing syndromic surveillance messages at TDH by automating data extraction and organization for all received HL7 messages. The database tables of extracted HL7 data elements allowed for easy analysis in any tool that can connect to a database (e.g., SAS, R, Python, Excel, Tableau) and faster, more manageable message validation. TDH has been able communicate better feedback to more healthcare providers because of the efficiencies gained after deploying the application.

Background: Sales of organic foods are increasing due to public demand, while genetically modified (GM) and irradiated foods are often viewed with suspicion. Aim: The aim of this research was to examine consumer attitudes toward organic, GM and irradiated foods to direct educational efforts regarding their consumption Methods: A telephone survey of 1838 residents in Tennessee, USA was conducted regarding organic, GM, and irradiated foods. Results: Approximately half of respondents (50.4%) purchased organic food during the previous 6 months (‘consumers’). The most common beliefs about organic foods by consumers were higher cost (92%), and fewer pesticides (89%). Consumers were more likely than non-consumers to believe organic food tasted better (prevalence ratio 3.6; 95% confidence interval 3.02–4.23). A minority of respondents were familiar with GM foods (33%) and irradiated foods (22%). Conclusion: Organic food consumption is common in Tennessee, but knowledge about GM and irradiated foods is less common. Consumer health education should emphasize the benefits of these food options, and the safety of GM and irradiated foods.

The performance of the BioSense and ESSENCE fever syndromes were compared using measured temperature as a gold standard. Both syndromes performed similarly, but the ESSENCE syndrome had higher sensitivity over the one year study period. Including recorded temperature data as a queryable variable would increase the sensitivity of the fever syndromes in both ESSENCE and BioSense.

This panel will expand the development process and use case collection of the ISDS Technical Conventions Committee, whose purpose is to bridge the gap between the analytic needs of public health practitioners and the expertise of the research community for the enhancement of disease surveillance.Panellists will present use cases of current and ongoing concern at local, state, and national levels. The audience will be prompted with questions on the relevance, aspects of common utility, technical feasibility, and data availability issues related to each use case, and derived or novel ideas will be solicited.

Tennessee has been slowly transitioning from a jurisidcitional syndromic surveillance system to a statewide, centralized system. During this process, old jurisdictional systems are being maintained, while infrastructure is being put in place to support a statewide syndromic surveillance solution. Successess, obstacles, and lessons learned throughout this process will be discussed.

Among 13 suspected Rocky Mountain spotted fever (RMSF) cases identified through an enhanced surveillance program in Tennessee, antibodies to Rickettsia rickettsii were detected in 10 (77%) patients using a standard indirect immunofluorescent antibody (IFA) assay. Immunoglobulin M (IgM) antibodies were observed for 6 of 13 patients (46%) without a corresponding development of IgG, and for 3 of 10 patients (30%) at least 1 year post-onset. However, recent infection with a spotted fever group rickettsiae could not be confirmed for any patient, based on a lack of rising antibody titers in properly timed acute and convalescent serologic specimens, and negative findings by polymerase chain reaction testing. Case definitions used in national surveillance programs lack specificity and may capture cases that do not represent current rickettsial infections. Use of IgM antibodies should be reconsidered as a basis for diagnosis and public health reporting of RMSF and other spotted fever group rickettsiae in the United States.

Importance From January 1, 2003, through December 31, 2010, drug overdose deaths in Tennessee increased from 422 to 1059 per year. More of these deaths involved prescription opioids than heroin and cocaine combined. Objective To assess the contribution of certain opioid-prescribing patterns to the risk of overdose death. Design, Setting, and Participants We performed a matched case-control study that analyzed opioid prescription data from the Tennessee Controlled Substances Monitoring Program (TNCSMP) from January 1, 2007, through December 31, 2011, to identify risk factors associated with opioid-related overdose deaths from January 1, 2009, through December 31, 2010. Case patients were ascertained from death certificate data. Age- and sex-matched controls were randomly selected from among live patients in the TNCSMP. Main Outcomes and Measures We defined a high-risk number of prescribers or pharmacies as 4 or more per year and high-risk dosage as a daily mean of more than 100 morphine milligram equivalents (MMEs) per year. The main outcome was opioid-related overdose death. Results From January 1, 2007, through December 31, 2011, one-third of the population of Tennessee filled an opioid prescription each year, and opioid prescription rates increased from 108.3 to 142.5 per 100 population per year. Among all patients in Tennessee prescribed opioids during 2011, 7.6% used more than 4 prescribers, 2.5% used more than 4 pharmacies, and 2.8% had a mean daily dosage greater than 100 MMEs. Increased risk of opioid-related overdose death was associated with 4 or more prescribers (adjusted odds ratio [aOR], 6.5; 95% CI, 5.1-8.5), 4 or more pharmacies (aOR, 6.0; 95% CI, 4.4-8.3), and more than 100 MMEs (aOR, 11.2; 95% CI, 8.3-15.1). Persons with 1 or more risk factor accounted for 55% of all overdose deaths. Conclusions and Relevance High-risk use of prescription opioids is frequent and increasing in Tennessee and is associated with increased overdose mortality. Use of prescription drug–monitoring program data to direct risk-reduction measures to the types of patients overrepresented among overdose deaths might reduce mortality associated with opioid abuse.

Tennessee has a high incidence of Rocky Mountain spotted fever (RMSF), the most severe tick-borne rickettsial illness in the United States. Some regions in Tennessee have reported increased illness severity and death. Healthcare providers in all regions of Tennessee were surveyed to assess knowledge, attitudes, and perceptions regarding RMSF. Providers were sent a questionnaire regarding knowledge of treatment, diagnosis, and public health reporting awareness. Responses were compared by region of practice within the state, specialty, and degree. A high proportion of respondents were unaware that doxycycline is the treatment of choice in children ≤ 8 years of age. Physicians practicing in emergency medicine, internal medicine, and family medicine; and nurse practitioners, physician assistants, and providers practicing for < 20 years demonstrated less knowledge regarding RMSF. The gaps in knowledge identified between specialties, designations, and years of experience can help target education regarding RMSF.

An outbreak investigation identified 15 pertussis cases among 5 infants and 10 healthcare professionals at 1 hospital's neonatal intensive care unit (NICU). The cost of the outbreak to this hospital was $97 745. Heightened awareness of pertussis in NICUs is key to preventing healthcare-associated spread and minimizing outbreak-control-related costs. Bordetella pertussis is a highly communicable bacterial pathogen that causes a prolonged cough illness and is spread by respiratory droplet transmission. Infants aged ≤6 months are most susceptible to B pertussis infection and pertussis-associated complications, including pneumonia, encephalopathy, and death, and are commonly hospitalized for treatment [ 1]. Despite a universal pertussis vaccination program, 27 550 pertussis cases were reported in the United States during 2010 [ 2]. Pertussis outbreaks in healthcare settings can be challenging and costly to control [3]. On September 13, 2011 and September 15, 2011, 3 pertussis cases, including 2 confirmed by B pertussis isolation, among preterm infants discharged ≤30 days previously from a 71-bed NICU of a general hospital (NICU A) were reported by Hospital B, a large pediatric facility, to Maricopa County Department of Public Health. This report describes the outbreak, examines outbreak-associated costs and risk factors that might have contributed to healthcare-associated transmission, and provides guidance to prevent outbreaks in healthcare settings.

Context Early data on pandemic 2009 influenza A(H1N1) suggest pregnant women are at increased risk of hospitalization and death. Objective To describe the severity of 2009 influenza A(H1N1) illness and the association with early antiviral treatment among pregnant women in the United States. Design, Setting, and Patients Surveillance of 2009 influenza A(H1N1) in pregnant women reported to the Centers for Disease Control and Prevention (CDC) with symptom onset from April through December 2009. Main Outcome Measures Severity of illness (hospitalizations, intensive care unit [ICU] admissions, and deaths) due to 2009 influenza A(H1N1) among pregnant women, stratified by timing of antiviral treatment and pregnancy trimester at symptom onset. Results We received reports on 788 pregnant women in the United States with 2009 influenza A(H1N1) with symptom onset from April through August 2009. Among those, 30 died (5% of all reported 2009 influenza A[H1N1] influenza deaths in this period). Among 509 hospitalized women, 115 (22.6%) were admitted to an ICU. Pregnant women with treatment more than 4 days after symptom onset were more likely to be admitted to an ICU (56.9% vs 9.4%; relative risk [RR], 6.0; 95% confidence interval [CI], 3.5-10.6) than those treated within 2 days after symptom onset. Only 1 death occurred in a patient who received treatment within 2 days of symptom onset. Updating these data with the CDC's continued surveillance of ICU admissions and deaths among pregnant women with symptom onset through December 31, 2009, identified an additional 165 women for a total of 280 women who were admitted to ICUs, 56 of whom died. Among the deaths, 4 occurred in the first trimester (7.1%), 15 in the second (26.8%), and 36 in the third (64.3%); Conclusions Pregnant women had a disproportionately high risk of mortality due to 2009 influenza A(H1N1). Among pregnant women with 2009 influenza A(H1N1) influenza reported to the CDC, early antiviral treatment appeared to be associated with fewer admissions to an ICU and fewer deaths.